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An Original Self-Turning PI Controller for STATCOM in Wind Farm with Voltage Fluctuation Based on IABC Algorithm

机译:基于IABC算法的风电场STATCOM原始自调整PI控制器。

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An original self-turning PI controller applied to d-q axis decoupling double closed-loop control system is proposed for STATCOM to suppress the voltage fluctuation of the point of common coupling (PCC) in wind farm. The artificial bee colony algorithm (ABC algorithm) is an advanced swarm intelligence algorithm and is widely used in parameters optimization. At first, the bee colony position initialization mothed and position update formula of the traditional ABC algorithm are improved in this paper, which make the optimization accuracy and convergence speed significantly improved. Then the integral of absolute error (IAE) index in PCC voltage is employed as the evaluation function. This improved ABC algorithm (IABC algorithm) can optimize the proportional and integral (PI) coefficient of PCC voltage outer-loop PI controller. The simulation and experimental results not only show that the control effect of the IABC algorithm is better than ABC algorithm, but also show that this original PI controller can improve the response speed of STATCOM to compensate reactive power and suppress the PCC voltage fluctuation in wind farm.
机译:针对STATCOM,提出了一种适用于d-q轴解耦双闭环控制系统的自转PI控制器,以抑制风电场中公共耦合点(PCC)的电压波动。人工蜂群算法(ABC算法)是一种先进的群体智能算法,已广泛用于参数优化。首先,改进了传统ABC算法的蜂群位置初始化方法和位置更新公式,极大地提高了优化精度和收敛速度。然后,将PCC电压中的绝对误差(IAE)指数积分用作评估函数。这种改进的ABC算法(IABC算法)可以优化PCC电压外环PI控制器的比例和积分(PI)系数。仿真和实验结果不仅表明IABC算法的控制效果优于ABC算法,而且表明该原始PI控制器可以提高STATCOM的响应速度,以补偿无功功率并抑制风电场中PCC电压的波动。 。

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